Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead and support mission-critical projects end-to-end in a matrixed environment. Create project plans, scope, cost estimates, resource plans, governance, and dependencies. Conduct research and analysis, synthesize complex information, present solutions to large audiences, facilitate meetings, and analyze financials and business cases to drive results.

Owns security for Azure services and supports secure cloud strategy and adoption. The role reduces operational risk, strengthens security posture, implements Azure security controls, supports compliance for regulated data, and applies NIST and CIS standards. Responsibilities include infrastructure-as-code, GitOps, policy-as-code, IaC security scanning, CI/CD automation, secure cloud operations, and scripting with Python and PowerShell.

Analyzes complex operational challenges and converts them into scalable business solutions. Partners with stakeholders to define requirements, analyze processes and data, design and test workflow automations, troubleshoot technology issues, and lead small to medium improvement initiatives. Builds governed solutions using Microsoft Power Platform and 365 tools, coordinates with technology teams, documents processes, manages implementation and adoption, and identifies reusable patterns to improve capacity, risk management, and associate experience.

Leads AI engineering teams delivering AI-enabled workflow solutions across investment systems. Oversees smart automation, agentic AI, RAG, orchestration, evaluations, observability, guardrails, and responsible AI controls. Partners across product, engineering, data, cybersecurity, risk, compliance, and operations to translate strategy into MVPs, scale human-plus-agent capabilities, improve processing and exception management, and manage solution roadmaps, stability, and continuous improvement.

Build and architect enterprise data governance-as-code platforms, automated governance pipelines, AI-powered monitoring solutions, and reusable governance frameworks. Drive adoption of data governance standards across business units by partnering with data governance teams, owners, and stewards. The role requires advanced technical expertise in Python or SQL, cloud data platforms, modern data architecture, governance tooling, change management, and regulated-industry data practices.

Leads enterprise data governance transformation across investment, operations, and client domains. Owns governance strategy and operating model, develops high-performing teams, builds governance capabilities, advances AI-enabled automation and governance-as-code, and drives adoption through change management. Partners across a regulated financial services organization while leveraging cloud data platforms, modern data architecture, and governance tooling to improve data quality, compliance, risk management, and control effectiveness.

Own enterprise AI product strategy, roadmaps, prioritization, adoption, metrics, and lifecycle management. Partner with business stakeholders, engineering, architecture, security, legal, risk, and compliance teams to deliver AI agents, copilots, automation, and Power Platform solutions. Translate business needs into technical outcomes, manage dependencies and tradeoffs, communicate with executives and technical teams, and drive measurable productivity and business value.

Lead and scale enterprise IAM operations and governance, ensuring identity lifecycle, provisioning, certifications, entitlement accuracy, and privileged access oversight. Drive IAM as Tier 0 services with high availability, automation, and AI/ML-enabled risk detection. Partner with Risk, Audit, HR, and engineering to align controls, remediate findings, and deliver KPIs while building a high-performing IAM leadership team.

Design, build, and operate enterprise observability platforms using OpenTelemetry, telemetry pipelines, unified metrics, events, logs, and traces, and Observability-as-Code. Integrate cloud-native tooling, automate onboarding, establish SLI/SLO and golden-signal standards, optimize cost and data quality, and advance anomaly detection. Lead technical workstreams, mentor engineers, and improve reliability and developer experience across AWS and Kubernetes environments.

Lead the design, implementation, and governance of enterprise AI integrations using Microsoft Copilot, Azure AI Foundry, Power Platform, APIs, connectors, MCP, retrieval architectures, and workflow automation. Partner with application, product, security, legal, privacy, compliance, and data teams to deliver scalable, secure agentic solutions. Establish reusable engineering patterns, monitoring, governance, lifecycle practices, and operational standards while mentoring engineers and evaluating emerging AI technologies.